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Update neuralnet indent #38
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NicoRenaud
approved these changes
Apr 21, 2021
graphprot/NeuralNet.py
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| self.valid_acc = [] | ||
| self.valid_loss = [] | ||
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| def put_the_model(self, dataset, Net): |
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small thing but maybe the name of this function should be b it more clear (put_model_to_device or something)
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Update the NeuralNet Class:
Split the init into :
load_pretrained_model
load_model
put_the_model
set_loss
That way Graphprot can be test as follow :
if the model is already loaded and trained:
model.test(database_test)
if a pretrained model is loaded:
model = NeuralNet(database_test, gnn, pretrained_model = model_saved, target=None)
model.test()
This avoid loading twice the database